Security Scan Report: ivyleague.com

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Submitted: Oct 24, 2025, 9:00:10 PMCompleted: Oct 24, 2025, 9:03:40 PMpubliccompleted
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Summary

This website contacted 110 IPs in 3 countries across 25 domains to perform 170 HTTP transactions. The main domain is ivyleague.com and was registered NaN years ago.

Submitted URL: https://ivyleague.com/boxscore.aspx?id=7ltyipP022aUJKmSgYVs3wXi7up73ghniwD5ElWyd07J7BNseBaMQePf0fY%2F3yUPXaFieFsm97j66k9PVxiMmJ5vlmnmPWyK%2BEjoZPC%2BceF1cI0fMgD27Jgem9Wgm5CJz%2FkISUJUScx7aNgPWtqt4c2zQ3uz%2FjtHMGdKmUlDJRgNXP48nUgPG25eaHRM22I2&path=fhockey

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Official branding and consistent site structure
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.

Page Title

Brown vs Princeton - Field Hockey - 10/24/2025 - Box Score - Ivy League

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(50%)

Domain Information

Domain 'ivyleague.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 9 characters in 'ivyleague' with 5 vowels and four consonants. Tokenizing the label suggests two words: ivy, league. Median word length is 4.5 characters. The linguistic tilt is English for 'ivy'. It also appears in Chinese (Pinyin) and Malay contexts.

Screenshot

Security scan screenshot of https://ivyleague.com/boxscore.aspx?id=7ltyipP022aUJKmSgYVs3wXi7up73ghniwD5ElWyd07J7BNseBaMQePf0fY%2F3yUPXaFieFsm97j66k9PVxiMmJ5vlmnmPWyK%2BEjoZPC%2BceF1cI0fMgD27Jgem9Wgm5CJz%2FkISUJUScx7aNgPWtqt4c2zQ3uz%2FjtHMGdKmUlDJRgNXP48nUgPG25eaHRM22I2&path=fhockey

Page Load Overview

13.00s
Total Load Time
170
HTTP Requests
25
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:22,554 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
50%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6318.172.112.3United States
AS16509AMAZON-02
6118.66.112.18United States
3445.223.99.109United States
AS19551INCAPSULA
11104.17.24.14United States
AS13335CLOUDFLARENET
9142.250.181.232United States
AS15169GOOGLE
818.66.112.54United StatesUnknown
6142.250.186.142United States
AS15169GOOGLE
52.19.126.198Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5104.18.40.238United States
AS13335CLOUDFLARENET
5216.239.32.36United States
AS15169GOOGLE
170110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C846494C9D21A7B009BD1D3A9345E2860F38E07CB060502FBDDD7BF37A5E88E61652E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ROwdfuKD6Z7EZ3cK5SoErn6Kgdh7iQXP1L8bNzkAOCiKgd7pNm4BPhL97wD+ai+u:5/6Z7EZ3cSJHrdz9cWIageBB4pL3sCS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:386167:pJzSJJlEAQHtIYUDgKUkCoIFEEBmECUMYusElBAmCAgiIKjqsCi6A0SMEAIQLAaFKQuYgEceREgboUgBESICfIMKpgBKTQAE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0000ffbfffffefff
Perceptual Hash:932e68680fbb8df0
Difference Hash:43e54a48cce89848
Wavelet Hash:00002a2e7f7f6f3e
Color Hash:#5391ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data